A decision analytic framework for the costs of sugar-sweetened beverage consumption

This thesis provides a decision analytic framework for calculating the medical costs associated with the decision to consume sugar-sweetened beverages. The model uses (i) records of mortality data, (ii) previously identified lifetime risks of diabetes, (iii) data on relative risks associated with sugar-sweetened beverage consumption, and (iv) the reported costs of diabetes medical treatment to determine the increase in expected costs that result from the consumption decision. Additionally the model can be used to analyze any decision that increases one’s relative risk of diabetes. The results indicate that sugar-sweetened beverage consumption is considerably more costly for younger individuals than for older individuals. Moreover, the frequency of beverage consumption also has a significant impact on expected medical costs. These results have wide ranging implications for such areas as health insurance, national health spending, and public health awareness campaigns.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Systems & Entrepreneurial Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2012

Author dc:creator

• Hupman, Andrea

Contributors dc:contributor

• Abbas, Ali E.

• decision analysis
• decision trees
• medical decision making
• diabetes
• sugar-sweetened beverages

Statement dc:rights

• Copyright 2011 Andrea C. Hupman

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/29602

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/29602